Jainam Shah

Business Development Executive

Mumbai, Maharashtra, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing financial risk models.
Strong foundation in data-driven decision making.
Passionate about the intersection of math and strategy.

Stackforce AI infers this person is a Fintech professional with a strong focus on data science and risk analytics.

Contact

Skills

Core Skills

Risk ModelingData ScienceQuantitative FinanceRisk Analytics

Other Skills

Analytical SkillsArtificial Intelligence (AI)Business AnalysisBusiness Data ManagementCapital MarketsCloud ApplicationsCommunicationComputational FinanceCredit Risk ModelingData AnalysisData AnalyticsData CleaningData VisualizationDeep LearningFinancial Markets

About

👋 Hi, I’m Jainam Shah, a B.Tech graduate in Artificial Intelligence and Data Science, passionate about using data to solve complex problems in finance. With strong interests in Quantitative Analytics, Risk Modelling, and Data Science in Financial Services, I enjoy turning raw data into insights that drive real-world impact. My experience working on Market Risk and IRRBB models has deepened my understanding of financial systems and the power of analytical thinking. What excites me most is the intersection of math, data, and strategy, where models don’t just predict, but guide smarter decisions. I’m curious, analytical, and always looking to push boundaries through meaningful, data-driven work. 🚀Let’s connect around Quant, FinTech, or Data Science in Finance. #Quant #DataScience #RiskAnalytics #MarketRisk #IRRBB #FinTech #Analytics #TechConsulting #AI #FinancialModelling

Experience

Acies

2 roles

Business Advisory Specialist

Jun 2025 – Present · 9 mos · Mumbai, Maharashtra, India · On-site

Currently developing an end-to-end IRRBB application that automates generation of EVE and NII reports by leveraging behavioral and cashflow modeling frameworks, ensuring robust risk measurement, scalability, and regulatory compliance.

Quantitative AnalyticsRisk ManagementData ScienceFinancial ModelingRisk Modeling

Quant Intern

Jan 2025 – Jun 2025 · 5 mos · Mumbai, Maharashtra, India · On-site

Interest Rate Risk Management:
Currently contributing to the development of IRRBB (Interest Rate Risk in the Banking Book) models for effective interest rate risk assessment and strategic risk management.
AIRO Bond Valuation Models:
Engineered AIRO models leveraging the Binomial Options Model to accurately value Callable and Puttable Bonds, enabling precise scenario analysis under varying rate environments.
Credit Risk Modeling:
Received formal training in credit risk fundamentals and hands-on experience applying Machine Learning models like XGBoost, Decision Trees, and Logistic Regression for predictive credit assessment.

Quantitative Risk AnalysisMachine LearningCredit Risk ModelingRisk ModelingQuantitative Finance

Jm financial ltd

Data Scientist

Jun 2024 – Oct 2024 · 4 mos · Mumbai, Maharashtra, India · On-site

Performed portfolio risk analysis and portfolio scoring, supporting effective financial decision-making.
Built revenue forecasting models using time series analysis, delivering actionable insights for clients and RMs.
Automated KYC processes using machine learning techniques, enhancing security and streamlining operations.
Developed and refined machine learning models, boosting predictive accuracy and data-driven decision-making in finance.

Data ScienceMachine LearningStatistical AnalysisRisk Analytics